Jeff Gau’s research while affiliated with Georgia Institute of Technology and other places

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Publications (10)


Rise time in simulated linear spring-mass-damper. Time to full amplitude is proportional to Q. a and b show startup to 45° degree amplitude and an amplitude change from 45° to 90° for Q = 2 and Q = 8 respectively. The rise time is slower with higher Q, as shown in c for several values of full amplitude percentage, p.
The series-elastic spring-wing system. (a) Conceptual diagram indicating the angle input, linear spring with structural damping, and rigid fixed-pitch wing. (b) Corresponding photo of the roboflapper indicating the ClearPath servo motor, silicone torsion spring, and acrylic wing in a large tank of water. (c) Diagram of the whole electromechanical system. Reproduced from [5]. CC BY 4.0.
Responsiveness Experiments. (a) We drive the series-elastic system via servo (blue) and measure the emergent flapping kinematics (orange). We fit exponential curves to the flapping peaks during start up (yellow) and after an input step (purple) 15 cycles after start. The measured time (in wing strokes) to full amplitude is linearly related to N (b & (c). However, the effective value for N is less than prescribed after the step due to an increase in flapping amplitude (c).
Description of the constant flow experiments. (a) Schematic of the orientation of the water jet relative to the wing, and conceptual representation of the effects of flow on time and phase domain plots. (b) Variation in limit cycle plots across N. Plots show 2 periods of steady oscillation with and without flow, at different values of N. (c) Plots of fit error for flow and no-flow cases across N, as well as fit lines for expected N⁻¹ function and a best fit curve. (d) Illustration of relative amplitude decrease across N, and mean at 84% of full amplitude.
Amplitude increases due to a step increase in input amplitude lead to commensurate decreases in N and transient time. Data points are shown in color, and gray arrows indicate the movement due to increased control input. The arrows are all roughly aligned with the trendline.

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Stability and agility trade-offs in spring-wing systems
  • Article
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December 2024

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20 Reads

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1 Citation

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Ethan S Wold

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Jeff Gau

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[...]

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Nick Gravish

Flying insects are thought to achieve energy-efficient flapping flight by storing and releasing elastic energy in their muscles, tendons, and thorax. However, ‘spring-wing’ flight systems consisting of elastic elements coupled to nonlinear, unsteady aerodynamic forces present possible challenges to generating stable and responsive wing motion. The energetic efficiency from resonance in insect flight is tied to the Weis-Fogh number (N), which is the ratio of peak inertial force to aerodynamic force. In this paper, we present experiments and modeling to study how resonance efficiency (which increases with N) influences the control responsiveness and perturbation resistance of flapping wingbeats. In our first experiments, we provide a step change in the input forcing amplitude to a series-elastic spring-wing system and observe the response time of the wing amplitude increase. In our second experiments we provide an external fluid flow directed at the flapping wing and study the perturbed steady-state wing motion. We evaluate both experiments across Weis-Fogh numbers from 1<N<10. The results indicate that spring-wing systems designed for maximum energetic efficiency also experience trade-offs in agility and stability as the Weis-Fogh number increases. Our results demonstrate that energetic efficiency and wing maneuverability are in conflict in resonant spring-wing systems, suggesting that mechanical resonance presents tradeoffs in insect flight control and stability.

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Phylogenetic comparative analysis of insect wingbeat actuation reveals a probable single origin of asynchronous flight muscle
a, Synchronous muscle has a 1:1 relationship between neural activation (blue dots) and muscle contraction. Asynchronous muscle contraction is independent of the precise timing of neural activation (red dots), arising from delayed stretch activation². b, The physiological signature of an asynchronous muscle is that when impulsively stretched it produces a delayed force of magnitude Fa that peaks after a characteristic time t0, determined by the rising and falling rate constants r3 and r4 (Methods). c, Ancestral state reconstruction¹⁴ based on muscle ultrastructure (not physiology) reveals that a single evolutionary origin of asynchronous fibre types is more probable using an insect-wide phylogeny resolved to the ordinal level¹⁵. Tip states were identified from the literature (Methods). Pie charts represent the posterior probabilities of the ancestral state reconstruction at these particular nodes given an equal rates model of evolution (full posterior probabilities in Extended Data Fig. 3 and Supplementary Table 5). d, By iteratively constraining ancestral nodes (Methods), we find an 87% posterior probability that some node ancestral to Lepidoptera and Trichoptera (including M. sexta) was asynchronous (making this clade secondarily synchronous) as opposed to all nodes ancestral to Lepidoptera being synchronous (ancestral synchronous). Myr, million years.
Secondarily synchronous hawkmoth flight muscle exhibits delayed stretch activation, a hallmark of asynchronous flight
a, Intact, downstroke flight muscle (DLMs) from M. sexta (n = 9 independent moths from the same source colonies, each sampled a single time) was mounted on an ergometer and electrically stimulated at 150 Hz to establish tetanus. Muscle viability was maintained with a saline drip at a constant 35 °C. b, We applied stretch–hold–release–hold strains, matching in vivo strain amplitudes⁵⁵ of 4.5% while measuring stress normalized to tetanus. Positive strain (ε) and force are defined in the shortening direction (opposite stretch). The black line denotes mean muscle stress normalized to tetanic stress, grey lines show individual trials. c, Magnification of the region outlined in b shows the delayed stretch activation response, characteristic of asynchronous muscle physiology. A sum-of-exponentials mathematical formulation of delayed stretch activation (equation (5); red line) accurately fits the mean normalized stress (black line; shaded region is ±s.d.). The initial transient is the viscoelastic response of the muscle and the subsequent rise and fall is the stretch activation. d, Despite being synchronous, the delayed stretch activation rising rate constant (r3) of M. sexta lies near the prior empirical finding of a linear relationship between r3 and wingbeat frequency¹⁸ (123.4 ± 52.6 s⁻¹ at 25 Hz; the black star shows the mean, error bars (obscured) show s.d.). Non-lepidopteran data and the black regression line are replotted from Molloy et al.¹⁸, with error bars representing the full range of data. We scaled r3 values to ambient temperature using published relationships (equations (2) and (3) from Molloy et al.¹⁸). e, Peak stress for M. sexta delayed stretch activation (Fa), tetanic force (Tet) and twitch. Delayed stretch activation (dSA) stress is shown with (IIR) and without (Emp) infinite impulse response correction (Methods). Box plots denote mean and quartiles, and whiskers are 1.5 × the interquartile range.
Transitions between synchronous and asynchronous modes in simulation and robotics
a, A unified biophysical model combines hawkmoth body mechanics (equation (3)) with time-periodic, neurogenic (synchronous) and delayed stretch activation (asynchronous) forcing. Stretch activation is implemented as a feedback filter (or convolution) of wing angle (ϕ) converted to muscle strain rate (ε̇\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\dot{\varepsilon }$$\end{document}) and scaled to wingstroke conditions (µFa) (equations (10) and (11)). The parameterKr interpolates between the two sources of muscle force (equation (1)). b, Kr and stretch activation time-to-peak normalized to the mechanical natural frequency (t0/Tn) define a parameter space. High-power flapping occurs at both extremes, but intermediate modes only generate appreciable power along a bridge where the rate of stretch activation approximately matches the synchronous drive (25 Hz). M. sexta is plotted on the basis of estimates of t0/Tn and K̃r\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\widetilde{K}}_{r}$$\end{document} from quasi-static data. c, Emergent wingbeat frequencies (f) normalized by the synchronous drive frequency (fs). Dark blue indicates regions where the emergent wingbeat frequency is entrained to the synchronous driving frequency (f = fs). The red regions indicate where the asynchronous dynamics dominate (f ≠ fs). The grey line indicates the boundary between synchronous- and asynchronous-dominant dynamics. d, A robophysical system (roboflapper) implementing both types of actuation, plus real-world fluid physics and friction. e,f, Results from the setup in d are qualitatively similar to the simulations in b,c, but with a region of no wingstrokes due to system friction with low Kr and high t0/Tn. g, A centimetre-scale robotic wing modelled after the Harvard robobee¹², consisting of (1) a wing; (2) a transmission; (3) a carbon fibre frame; (4) a piezoelectric bending actuator; and (5) a wing displacement sensor. h, A single hybrid robobee transitioning from synchronous (Kr = 1, blue) to asynchronous (Kr = 0, red) in real time. Transitions are smooth when synchronous and asynchronous frequencies are approximately equal (blue and red markers, respectively). i, When the frequencies differ, interference causes frequency and amplitude fluctuations in the transition regime.
Bridging two insect flight modes in evolution, physiology and robophysics

October 2023

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295 Reads

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14 Citations

Nature

Since taking flight, insects have undergone repeated evolutionary transitions between two seemingly distinct flight modes1–3. Some insects neurally activate their muscles synchronously with each wingstroke. However, many insects have achieved wingbeat frequencies beyond the speed limit of typical neuromuscular systems by evolving flight muscles that are asynchronous with neural activation and activate in response to mechanical stretch2–8. These modes reflect the two fundamental ways of generating rhythmic movement: time-periodic forcing versus emergent oscillations from self-excitation8–10. How repeated evolutionary transitions have occurred and what governs the switching between these distinct modes remain unknown. Here we find that, despite widespread asynchronous actuation in insects across the phylogeny3,6, asynchrony probably evolved only once at the order level, with many reversions to the ancestral, synchronous mode. A synchronous moth species, evolved from an asynchronous ancestor, still preserves the stretch-activated muscle physiology. Numerical and robophysical analyses of a unified biophysical framework reveal that rather than a dichotomy, these two modes are two regimes of the same dynamics. Insects can transition between flight modes across a bridge in physiological parameter space. Finally, we integrate these two actuation modes into an insect-scale robot11–13 that enables transitions between modes and unlocks a new self-excited wingstroke strategy for engineered flight. Together, this framework accounts for repeated transitions in insect flight evolution and shows how flight modes can flip with changes in physiological parameters.


Fig. 1. Blinking has evolved repeatedly. (A) A phylogeny showing the distribution of blinking in osteichthyans (bony fishes). A black square indicates that blinking is present within a clade. A white square indicates that blinking is absent in the group. A pink hash mark indicates where blinking is hypothesized to have originated. In some clades labeled with black squares, where blinking generally characterizes the group, blinking has been secondarily lost (e.g., snakes and some fully aquatic frogs). Among actinopterygians, select clades are shown to convey both the general condition among the more than 30,000 actinopterygians, the absence of blinking, as well as the phylogenetic position of mudskippers. (B) In humans, blinking involves lowering of the upper eyelid. Other tetrapods, however, can blink with other membranes. (C) A yellow mongoose (Cynictis penicillata) closing its eyes with a nictitating membrane, which moves in a rostrocaudal direction. (D) A mallard duck (Anas platyrhynchos) closing its eye by raising the lower eyelid. (E) A pug-headed mudskipper (Periophthalmodon freycineti) blinking and showing movement of the eye and dermal cup. All images by John Morris.
Fig. 2. Mudskippers blink spontaneously on land. (A) Exemplar images of a blink in the Indian mudskipper P. septemradiatus. Top image shows the eye raised, at rest. Bottom image shows the eye fully lowered. Footage of spontaneous mudskipper blinks are shown in Movies S1-S3. (B) Kinematics were analyzed in the African mudskipper P. barbarus. As illustrated in panel A, landmarks were placed on the most dorsal aspect of the corneal surface (blue) and on the most dorsal aspect of the dermal cup (pink). Graphs show lateral kinematics from four individuals (n = 3 blinks per individual, n = 12 total blinks). Individual blinks are plotted as light-colored lines. Mean kinematic trajectories are plotted as bold lines. The start of a blink was defined as when eye depression is first observed. The end of the blink was defined as when the eye returned to its starting point or when velocity of eye elevation reached zero, as the eye would often come to rest at a position lower than where the blink started. The transition from eye closing to eye opening was defined as the point when the eye began to elevate.
Fig. 3. Mudskippers have not evolved novel eye musculature. Volumetric renderings of contrast-enhanced μCT scans show that mudskippers have retained the plesiomorphic set of eye-associated muscles. The same six extraocular muscles are observed in (A-C) the African mudskipper P. barbarus, (D and E) the Indian mudskipper P. septemradiatus, and (F and G) the fully aquatic round goby, N. melanostomus.
Fig. 4. Mudskippers have not evolved novel "tear glands." (A) Volumetric rendering of contrast-enhanced μCT scan of P. barbarus showing left lateral view of the head. The dashed purple and pink lines show the position of digital cross-sections, to the right, which were studied to assess whether multicellular glands or associated ducts were present around the eye; none were observed. (B-G) Parasagittal sections the eye of P. septemradiatus and surrounding tissues stained with hematoxylin and eosin to confirm observations from µCT data. Panel B is of the same position as the purple dashed line of panel A. Panel C labels anatomical features of this section and shows regions that are zoomed in on panels D and E. Panel D shows distinct microstructure of the epithelium below the eye. (F) Epithelium dorsal to the eye at the same sagittal section as panels B-E. (G) A higher magnification of the tissue in panel F that shows the organization of the epithelium dorsal to the eye. Arrows in panels E and G denote putative secretory cells. Abbreviations: cor, cornea; inf.r, inferior rectus; ret, retina; sch, schlera.
The origin of blinking in both mudskippers and tetrapods is linked to life on land

April 2023

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330 Reads

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11 Citations

Proceedings of the National Academy of Sciences

Blinking, the transient occlusion of the eye by one or more membranes, serves several functions including wetting, protecting, and cleaning the eye. This behavior is seen in nearly all living tetrapods and absent in other extant sarcopterygian lineages suggesting that it might have arisen during the water-to-land transition. Unfortunately, our understanding of the origin of blinking has been limited by a lack of known anatomical correlates of the behavior in the fossil record and a paucity of comparative functional studies. To understand how and why blinking originates, we leverage mudskippers (Oxudercinae), a clade of amphibious fishes that have convergently evolved blinking. Using microcomputed tomography and histology, we analyzed two mudskipper species, Periophthalmus barbarus and Periophthalmodon septemradiatus, and compared them to the fully aquatic round goby, Neogobius melanostomus. Study of gross anatomy and epithelial microstructure shows that mudskippers have not evolved novel musculature or glands to blink. Behavioral analyses show the blinks of mudskippers are functionally convergent with those of tetrapods: P. barbarus blinks more often under high-evaporation conditions to wet the eye, a blink reflex protects the eye from physical insult, and a single blink can fully clean the cornea of particulates. Thus, eye retraction in concert with a passive occlusal membrane can achieve functions associated with life on land. Osteological correlates of eye retraction are present in the earliest limbed vertebrates, suggesting blinking capability. In both mudskippers and tetrapods, therefore, the origin of this multifunctional innovation is likely explained by selection for increasingly terrestrial lifestyles.


The hawkmoth wingbeat is not at resonance

May 2022

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50 Reads

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16 Citations

Flying insects have elastic materials within their exoskeletons that could reduce the energetic cost of flight if their wingbeat frequency is matched to a mechanical resonance frequency. Flapping at resonance may be essential across flying insects because of the power demands of small-scale flapping flight. However, building up large-amplitude resonant wingbeats over many wingstrokes may be detrimental for control if the total mechanical energy in the spring-wing system exceeds the per-cycle work capacity of the flight musculature. While the mechanics of the insect flight apparatus can behave as a resonant system, the question of whether insects flap their wings at their resonant frequency remains unanswered. Using previous measurements of body stiffness in the hawkmoth, Manduca sexta , we develop a mechanical model of spring-wing resonance with aerodynamic damping and characterize the hawkmoth's resonant frequency. We find that the hawkmoth's wingbeat frequency is approximately 80% above resonance and remains so when accounting for uncertainty in model parameters. In this regime, hawkmoths may still benefit from elastic energy exchange while enabling control of aerodynamic forces via frequency modulation. We conclude that, while insects use resonant mechanics, tuning wingbeats to a simple resonance peak is not a necessary feature for all centimetre-scale flapping flyers.



Rapid frequency modulation in a resonant system: Aerial perturbation recovery in hawkmoths

May 2021

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60 Reads

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24 Citations

Centimetre-scale fliers must contend with the high power requirements of flapping flight. Insects have elastic elements in their thoraxes which may reduce the inertial costs of their flapping wings. Matching wingbeat frequency to a mechanical resonance can be energetically favourable, but also poses control challenges. Many insects use frequency modulation on long timescales, but wingstroke-to-wingstroke modulation of wingbeat frequencies in a resonant spring-wing system is potentially costly because muscles must work against the elastic flight system. Nonetheless, rapid frequency and amplitude modulation may be a useful control modality. The hawkmoth Manduca sexta has an elastic thorax capable of storing and returning significant energy. However, its nervous system also has the potential to modulate the driving frequency of flapping because its flight muscles are synchronous. We tested whether hovering hawkmoths rapidly alter frequency during perturbations with vortex rings. We observed both frequency modulation (32% around mean) and amplitude modulation (37%) occurring over several wingstrokes. Instantaneous phase analysis of wing kinematics revealed that more than 85% of perturbation responses required active changes in neurogenic driving frequency. Unlike their robotic counterparts that abdicate frequency modulation for energy efficiency, synchronous insects use wingstroke-to-wingstroke frequency modulation despite the power demands required for deviating from resonance.


Figure 2. Schematic and details of the robophysical flapping-wing experiments. (a) A schematic of the system showing the stepper motor in series with a torsional spring connected to a rigid wing. (b) A picture of the physical system. (c) A diagram of the control and experimental operation of the robophysical system.
Figure 3. Characterization of silicone torsion springs. (a) Photo of silicone torsion spring. Acrylic shaft couplers at the top and bottom clamp to the flanged ends of the spring. (b) Dynamic loading of the torsion spring (blue) results in a linear torque response with slight hysteresis effects. (c) Static load test results for three silicone springs. (d) Spring stiffness increases with the radius of the cylindrical region and follows an R 4 curve. (e) Estimates of the hysteric loss factor for the three springs.
Figure 10. (a) Simulation of dynamic efficiency in a series spring-wing system for four values of structural damping. The solid black line is the undamped resonance relationship between N and ^ K. The dashed lines are drawn to guide the eye along the estimated minimum of the dynamic efficiency gradient. (b) Numerical calculations of dynamic efficiency along the undamped resonance relationship curves for γ = [0, 0.5] in increments of 0.05. Dashed lines show results from a parallel spring-wing system at resonance for comparison. Inset shows the dynamic efficiency of the experimental spring-wing system at resonance. (c) Sum of squares difference between the series simulation η and the parallel closed form η for varying amounts of structural damping (γ).
Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight

February 2021

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84 Reads

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39 Citations

Flapping-wing insects, birds and robots are thought to offset the high power cost of oscillatory wing motion by using elastic elements for energy storage and return. Insects possess highly resilient elastic regions in their flight anatomy that may enable high dynamic efficiency. However, recent experiments highlight losses due to damping in the insect thorax that could reduce the benefit of those elastic elements. We performed experiments on, and simulations of, a dynamically scaled robophysical flapping model with an elastic element and biologically relevant structural damping to elucidate the roles of body mechanics, aerodynamics and actuation in spring-wing energetics. We measured oscillatory flapping-wing dynamics and energetics subject to a range of actuation parameters, system inertia and spring elasticity. To generalize these results, we derive the non-dimensional spring-wing equation of motion and present variables that describe the resonance properties of flapping systems: N , a measure of the relative influence of inertia and aerodynamics, and K ^ , the reduced stiffness. We show that internal damping scales with N , revealing that dynamic efficiency monotonically decreases with increasing N . Based on these results, we introduce a general framework for understanding the roles of internal damping, aerodynamic and inertial forces, and elastic structures within all spring-wing systems.


Hawkmoths use wingstroke-to-wingstroke frequency modulation for aerial recovery to vortex ring perturbations

December 2020

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21 Reads

Centimeter-scale fliers that combine wings with springy elements must contend with the high power requirements and mechanical constraints of flapping wing flight. Insects utilize elastic energy exchange to reduce the inertial costs of flapping wing flight and potentially match wingbeat frequencies to a mechanical resonance. Flying at resonance may be energetically favorable under steady conditions, but it is difficult to modulate the frequency of a resonant system. Evidence suggests that insects utilize frequency modulation over long time scales to adjust aerodynamic forces, but it remains an open question the extent to which insects can modulate frequency on the wingstroke-to-wingstroke timescale. If wingbeat frequencies deviate from resonance, the musculature must work against the elastic flight system, thereby potentially increasing energetic costs. To assess how insects address the simultaneous needs for power and control, we tested the capacity for wingstroke-to-wingstroke wingbeat frequency modulation by perturbing free hovering Manduca sexta with vortex rings while recording high-speed video at 2000 fps. Because hawkmoth flight muscles are synchronous, there is at least the potential for the nervous system to modulate frequency on each wingstroke. We observed ± 16% wingbeat frequency modulation in just a few wing strokes. Via instantaneous phase analysis of wing kinematics, we found that over 85% of perturbation responses required active changes in motor input frequency. Unlike their robotic counterparts that explicitly abdicate frequency modulation in favor of energy efficiency, we find that wingstroke-to-wingstroke frequency modulation is an underappreciated control strategies that complements other strategies for maneuverability and stability in insect flight.


Indirect actuation reduces flight power requirements in Manduca sexta via elastic energy exchange

December 2019

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29 Reads

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46 Citations

In many insects, wing movements are generated indirectly via exoskeletal deformations. Measurements of inertial and aerodynamic power suggest that elastic recovery of energy between wingstrokes might reduce power requirements of flight. We tested three questions. (1) Can the thorax itself provide significant energy return? (2) Does a simple damped elastic model describe the bulk mechanical behaviour? (3) Are different regions of the thorax specialized for elastic energy exchange? We measured deformation mechanics of the hawkmoth Manduca sexta thorax by recording the force required to sinusoidally deform the thorax over a wide frequency range. Elastic energy storage in the thorax is sufficient to minimize power requirements. However, we find that a structural (frequency-independent) damping model, not a viscoelastic model, best describes the thorax's mechanical properties. We next performed complementary experiments on a structurally damped homogeneous hemisphere. In contrast to the hemispherical shell, we find that mechanical coupling between different regions of the thorax improves energy exchange performance and that local mechanical properties depend on global strain patterns. Specifically, the scutum region provides energy recovery with low dissipation, while the majority of energy loss occurred in the wing hinge region, highlighting the specificity of thorax regions for flight energetics.


Figure 4: Frequency response and mechanical characterization of intact thorax with passive musculature (N = 24). Each line denotes one individual. a) Damping coefficient c for a Kelvin-Voigt model fit to experimental data. b) Damping coefficient γ for a structural damping model fit to experimental data. c) Normalized peak force required to deform the thorax versus frequency. For each individual, force is normalized to the peak force at 90 Hz. d) Resilience versus calculated for experimental force-displacement data (blue) and for a linear fit (gray). Shaded area denotes one standard deviation above and below the mean.
Indirect actuation reduces flight power requirements in Manduca sexta via elastic energy exchange

August 2019

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89 Reads

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1 Citation

In the vast majority of flying insects, wing movements are generated indirectly via the deformations of the exoskeleton. Indirect measurements of inertial and aerodynamic power requirements suggest that elastic energy exchange in spring-like structures may reduce the high power requirements of flight by recovering energy from one wingstroke to the next. We directly measured deformation mechanics and elastic energy storage in a hawkmoth Manduca sexta thorax by recording the force required to deform the thorax over a frequency range encompassing typical wingbeat frequencies. We found that a structural damping model, not a viscoelastic model, accurately describes the thorax's linear spring-like properties and frequency independent dissipation. The energy recovered from thorax deformations is sufficient to minimize flight power requirements. By removing the passive musculature, we find that the exoskeleton determines thorax mechanics. To assess the factors that determine the exoskeleton's spring-like properties, we isolated functional thorax regions, disrupted strain in an otherwise intact thorax, and compared results to a homogeneous hemisphere. We found that mechanical coupling between spatially separated thorax regions improves energy exchange performance. Furthermore, local mechanical properties depend on global strain patterns. Finally, the addition of scutum deformations via indirect actuation provides additional energy recovery without added dissipation.

Citations (9)


... Recently, the significant elastic energy storage capacity of the thorax was discovered in hawkmoths [3] and other insects [11], which has been hypothesized to compensate for inertial energy requirements [3]. In addition, several recent studies modelled the wing motor system as a lumped second-order spring mass damper system [18,[24][25][26]; Lynch et al. [24] studied the responsiveness of flapping wing system to perturbations as a function of the Weis-Fogh number, which quantifies the ratio of inertial and aerodynamic energies involved in the system, and its trade-offs with energy efficiency. Pons et al. [25] indicated the existence of multiple resonance peaks and band-type resonance. ...

Reference:

Efficiency and control trade-offs and work loop characteristics of flapping-wing systems with synchronous and asynchronous muscles
Stability and agility trade-offs in spring-wing systems

... The origin of powered flight is a textbook example of convergent evolution: insects, pterosaurs, birds and bats ʻinventedʼ active flight in a step-by-step manner four times independently, yet the strong physical and mechanical constraints led to similar solutions: functional or anatomical dipterism [1][2][3]. The evolution of active swimming is in many aspects similar: it is strongly constrained by the aquatic environment [4] and evolves by stepby-step functional improvements [5,6]. ...

Bridging two insect flight modes in evolution, physiology and robophysics

Nature

... In the flying fish Cypselurus heterurus, which spends short times gliding outside the water, the cornea is shaped like a three-sided pyramid reducing corneal refraction in air and therefore allowing emmetropic aerial vision 24,25 . Amphibious mudskippers on the other hand have non-spherical lenses to enhance aerial vision and use blinking for wetting the eyes among other functions 26 . While amphibious vision and corresponding changes in the eye structure can be observed in several fish taxa, most species do not have the ability of simultaneously aquatic and aerial vision 25 and thus often do not exhibit similar adaptations in eye placement and skull morphology as observed in Anableps 13 . ...

The origin of blinking in both mudskippers and tetrapods is linked to life on land

Proceedings of the National Academy of Sciences

... This model has precedence in literature for modelling muscles in wing motor systems [19,25]. In the synchronous model, the active force was modelled using a prescribed sinusoidal function of time t (equation (2.2) and figure 1c(i)); while it was modelled using a delayed velocity feedback-based forcing function in the asynchronous model (equation (2.3) and figure 1c(ii)) based on Lynch et al. [37]. The parallel elastic element is modelled using a linear spring kup rtrans 2 θ(t) and kdown ...

Autonomous Actuation of Flapping Wing Robots Inspired by Asynchronous Insect Muscle
  • Citing Conference Paper
  • May 2022

... Functioning at resonance may, however, reduce the capacity for active control, because frequency modulation at resonance may require significant attenuation of wing stroke amplitude or an increase in muscle energy expenditure [7]. This has recently led to the hypothesis that natural fliers may be functioning away from resonance [10,18] to retain some degree of active control [18]. Therefore, there likely exist trade-offs between muscle mechanical energy efficiency and active control of wing motion in natural fliers, however, such trade-offs have not been studied systematically and remain elusive. ...

The hawkmoth wingbeat is not at resonance

... To fly, animals in nature rely on their power flight muscles to flap their wings and overcome aerodynamic damping and wing inertia [1][2][3], which can be energetically demanding, especially at low speed or hover [2]. It is often hypothesized that animal fliers use elastic energy storage [4][5][6] to improve muscle mechanical energy efficiency, such that the flapping-wing motor system functions near resonance [7][8][9][10][11], which effectively reduces or eliminates the muscle energy expenditure required for overcoming the wing inertia. In recent years, this principle is also followed in the development of flapping wing aerial robots [12]. ...

Rapid frequency modulation in a resonant system: Aerial perturbation recovery in hawkmoths

... Therefore, there likely exist trade-offs between muscle mechanical energy efficiency and active control of wing motion in natural fliers, however, such trade-offs have not been studied systematically and remain elusive. These trade-offs are rooted in the dynamics of the wing motor system [18,19], which comprises biomechanical components such as wings, muscles, thorax (in insects) and other mechanical components connected to the wings, which collectively exhibit mechanical properties such as inertia, damping and elasticity. A comprehensive study of the wing motor system via experimental methods is challenging because evaluating the energetics and dynamics would require simultaneous measurements on many small components in vivo. ...

Dimensional analysis of spring-wing systems reveals performance metrics for resonant flapping-wing flight

... To fly, animals in nature rely on their power flight muscles to flap their wings and overcome aerodynamic damping and wing inertia [1][2][3], which can be energetically demanding, especially at low speed or hover [2]. It is often hypothesized that animal fliers use elastic energy storage [4][5][6] to improve muscle mechanical energy efficiency, such that the flapping-wing motor system functions near resonance [7][8][9][10][11], which effectively reduces or eliminates the muscle energy expenditure required for overcoming the wing inertia. ...

Indirect actuation reduces flight power requirements in Manduca sexta via elastic energy exchange

... Like resonant oscillators, insects may store excess kinetic energy during a wing stroke in spring-like structures and return this energy to reaccelerate the wings. This strategy would effectively reduce the inertial power requirements necessary for flight [2][3][4][5][6][7]. Recent work directly measuring resonance properties in bees suggests that wingbeat frequencies are directly tuned to match resonance frequencies [8]. ...

Indirect actuation reduces flight power requirements in Manduca sexta via elastic energy exchange